JUCS - Journal of Universal Computer Science 25(6): 667-682, doi: 10.3217/jucs-025-06-0667
A Hybrid Neural System to Study the Interplay between Economic Crisis and Workplace Accidents in Spain
Sonia Contreras‡, Miguel Ángel Manzanedo‡, Álvaro Herrero‡‡ Universidad de Burgos, Burgos, Spain
Corresponding author: Sonia Contreras ( scontreras@ubu.es ) © Sonia Contreras, Miguel Manzanedo, Álvaro Herrero. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-ND 4.0). This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. Citation:
Contreras S, Manzanedo MÁ, Herrero Á (2019) A Hybrid Neural System to Study the Interplay between Economic Crisis and Workplace Accidents in Spain. JUCS - Journal of Universal Computer Science 25(6): 667-682. https://doi.org/10.3217/jucs-025-06-0667 |  |
Abstract
Workplace accident rates are always a constant source of concern in different scenarios. On the other hand, different economic cycles modify employment indicators, thereby affecting both the health and the wellbeing of workers. In this study, a Hybrid Neural System is proposed to support the analysis of both workplace accidents and different macroeconomic variables. The application of exploratory projection and nonlinear autoregressive models allow us to recognize patterns and subsequently study the interplay between the two fields, providing valuable information, so that directors can take more informed management decisions.
Keywords
artificial neural networks, exploratory projection, nonlinear autoregressive, workplace health and safety, workplace accidents, economic crisis